My name is Amin Ziagham, a Software Engineer with over 10 years of professional experience in software design and development. I began programming at age 17, which sparked my lifelong passion for building software and solving complex problems. I am currently learning AI engineering, expanding my expertise into artificial intelligence, machine learning, and intelligent system design.

I specialize in building scalable, maintainable, and high-quality software systems using principles of clean architecture and elegant coding practices. My expertise spans Mathematical Optimization, System Architectures, Algorithmic Problem Solving, and now AI/ML-driven solutions. I am detail-oriented, self-driven, and passionate about exploring and adapting to new technologies and engineering concepts.

I hold multiple Microsoft Azure certifications, validating my proficiency in cloud solutions and development within the .NET ecosystem:

• Microsoft Certified: Azure Fundamentals (AZ-900)
• Microsoft Certified: Azure Administrator Associate (AZ-104)
• Microsoft Certified: Azure Developer Associate (AZ-204)

These credentials have strengthened my knowledge in cloud architecture, deployment strategies, and DevOps integration.

FlowSynx is my open-source initiative focused on workflow automation and orchestration through a JSON-based DAG (Directed Acyclic Graph) execution model.

FlowSynx simplifies complex workflow processing with a modular, plugin-based architecture and visual workflow representation. Key features include:

• .NET-based workflow engine
• Clean Architecture implementation
• Blazor-based GUI
• Built-in authentication and security

The project embodies my vision of creating intelligent, extensible, and human-readable workflow systems for modern distributed applications, now increasingly integrating AI and intelligent automation concepts.

I embrace an open-source–driven approach emphasizing collaboration, transparency, and adaptability. My approach integrates mathematical programming, algorithmic problem-solving, and AI-driven insights to develop robust, scalable, and elegant software solutions. I prioritize continuous learning, experimentation, and knowledge sharing, striving to contribute meaningfully to both the projects I work on and the broader engineering community.

⭐ “Applying mathematical optimization, principled software architecture, and AI-driven solutions, continuously learning, and delivering clean, efficient systems are at the core of everything I do.”

• GitHub: github.com/ziagham
• LinkedIn: linkedin.com/in/aminziagham
• Email: [email protected]